Performance Predictors for Graph Analytics

Paper Link:

Link

Neural Architecture Performance PredictionUsing Graph Neural Networks

Fortran code analysis for performance prediction

Lightweight, extensible, and fair multi- DNN manager for heterogeneous embedded devices.

Code for "Conformal Performance Range Prediction for Segmentation Output Quality Control" accepted to MICCAI UNSURE 2024

A tool to predict the efficacy of DNN optimizations

This is an official repository for "Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources" (NeurIPS 2023).

🔮 Execution time predictions for deep neural network training iterations across different GPUs.

Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Extraction of factors impacting students' performances.